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» Predicting user interests from contextual information
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IR
2002
14 years 9 months ago
An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms
Collaborative filtering systems predict a user's interest in new items based on the recommendations of other people with similar interests. Instead of performing content index...
Jonathan L. Herlocker, Joseph A. Konstan, John Rie...
ICWSM
2010
14 years 11 months ago
Tweeting from the Town Square: Measuring Geographic Local Networks
This paper examines tweets about two geographically local events--a shooting and a building collapse--that took place in Wichita, Kansas and Atlanta, Georgia, respectively. Most I...
Sarita Yardi, Danah Boyd
SOCIALCOM
2010
14 years 7 months ago
Learning to Predict Ad Clicks Based on Boosted Collaborative Filtering
This paper addresses the topic of social advertising, which refers to the allocation of ads based on individual user social information and behaviors. As social network services (e...
Teng-Kai Fan, Chia-Hui Chang
SP
2010
IEEE
165views Security Privacy» more  SP 2010»
15 years 1 months ago
A Practical Attack to De-anonymize Social Network Users
—Social networking sites such as Facebook, LinkedIn, and Xing have been reporting exponential growth rates. These sites have millions of registered users, and they are interestin...
Gilbert Wondracek, Thorsten Holz, Engin Kirda, Chr...
CHI
2005
ACM
15 years 10 months ago
Saving and using encountered information: implications for electronic periodicals
As part of a focus on electronic publications, we undertook an exploratory study of how people saved and used the information they encountered while reading. In particular, we wan...
Catherine C. Marshall, Sara A. Bly